This repository contains all publicly available raster files to calibrate/validate the parameters of the Diffusive-logistic growth (DLG) model and generate prognostics by means of the GRASS-GIS module r.recovery (Richit et al., 2019). Three .tiff files are needed for perform calibration/validation: two are EVI raster maps (two time-lapsed conditions of forest density) and a soil use file. In the repository the example files are: Calibration_EVI_2000; Calibration_EVI_2011 and Calibration_soil_use_2000, respectively. The others files in the repository are four EVI .tiff files and their respectively soil use .tiff files that were used to perform simulations by the means of calibrated parameters of the DGL model. The files are: AMNP_EVI_2016 and AMNP_soil_use_2016; FPSP_EVI_2016 and FPSP_soil_use_2016; MDRB_EVI_2016 and MDRB_soil_use_2016; MNPTS_EVI_2016 and MNPTS_soil_use_2016. For more details on r.recovery module please check Richit, L.A., Bonatto, C., da Silva, R.V., Grzybowski, J.M.V., 2019. Prognostics of forest recovery with r.recovery grass-gis module: an open source forest growth simulation model based on the diffusive-logistic equation. Environmental modelling & software 111, 108–120.